Gopuff's engineering team is building solutions to dramatically change the way people purchase their daily goods. We provide the modern-day solution to meet customer's immediate everyday needs with products ranging from snacks and ice cream to household goods and beer, at the click of a button.
As an Analytics Engineer at Gopuff you'll be responsible for building and maintaining the bridge between our data and the rest of our organization. You'll be helping ensure the integrity, reliability, and usability of productionalized data for all teams as they make critical data-driven decisions. This role sits within the Analytics Engineering team within our Engineering organization. You'll have the opportunity to make a huge impact as the future success of Gopuff will largely depend on our ability to execute and scale operationally.
Our stack currently consists of stitch and various data engineering pipelines for extracting and loading, snowflake, dbt, and looker. If you have expertise in these tools, or an appetite to learn more about them-let's chat!
#LI-Remote
Responsibilities

• • Be our go-to data expert and have a deep understanding of our data warehouse and data processing layers.
  • Partner with data analytics, product managers, engineers, and business stakeholders to obtain a holistic understanding of each team's data needs and translate into infrastructure and tooling that enables a data-driven culture.
  • Own data integrity, availability, transformation logic, and efficient data access to support the growing needs of the organization.
  • Identify gaps in existing data, create data product specs and work with Engineering teams to implement data tracking.
  • Incorporate automation wherever possible to improve data pipelines and analyses
  • Creating testing and monitoring systems to ensure data quality - and build documentation to ensure data accessibility to all stakeholders

Minimum Qualifications

• •  
  • Bachelors in Engineering, Business, Information Systems or other quantitative discipline
  • 2+ years of experience building data models that integrate complex and disparate data sources, using tools such as dbt
  • Expert in SQL and database table design - able to write structured and efficient queries on large data sets
  • Experience and strong knowledge in data warehousing concepts, big data technologies, and analytics platforms. Snowflake experience strongly preferred
  • Experience working in git workflows
  • Excellent communication skills to work with stakeholders to translate business needs and ideas into tractable work items/
  • Top notch organizational skills and ability to manage multiple projects in a fast-paced environment
  • Move fast, be a team player, always be learning and give back

Preferred Qualifications

• • Experience and strong knowledge in data warehousing concepts, big data technologies, and analytics platforms. Redshift and/or Snowflake experience strongly preferred
  • Experience with ETL/ELT tools (bonus points for dbt!)

Benefits
We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.
We also offer:
-Gopuff employee discount
-Career growth opportunities
-Internal rewards programs
-Annual performance appraisal and bonus
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it-stuff happens. But that's where we come in, delivering all your wants and needs in just minutes.
And now, we're assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you're hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.